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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Happy software developers solve problems better: psychological measurements in empirical software engineering
|
|---|---|
| Published in |
PeerJ, March 2014
|
| DOI | 10.7717/peerj.289 |
| Pubmed ID | |
| Authors |
Daniel Graziotin, Xiaofeng Wang, Pekka Abrahamsson |
X Demographics
The data shown below were collected from the profiles of 313 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 81 | 26% |
| United Kingdom | 19 | 6% |
| Canada | 12 | 4% |
| Germany | 9 | 3% |
| Spain | 7 | 2% |
| Sweden | 7 | 2% |
| Ireland | 6 | 2% |
| Korea, Republic of | 6 | 2% |
| India | 5 | 2% |
| Other | 53 | 17% |
| Unknown | 108 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 270 | 86% |
| Scientists | 31 | 10% |
| Practitioners (doctors, other healthcare professionals) | 8 | 3% |
| Science communicators (journalists, bloggers, editors) | 4 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| United States | 2 | 1% |
| Japan | 2 | 1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Malaysia | 1 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 163 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 19% |
| Student > Master | 30 | 17% |
| Student > Bachelor | 20 | 11% |
| Researcher | 18 | 10% |
| Student > Doctoral Student | 12 | 7% |
| Other | 28 | 16% |
| Unknown | 36 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 71 | 40% |
| Psychology | 16 | 9% |
| Business, Management and Accounting | 12 | 7% |
| Engineering | 10 | 6% |
| Economics, Econometrics and Finance | 4 | 2% |
| Other | 19 | 11% |
| Unknown | 45 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 324. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 April 2024.
All research outputs
#105,395
of 25,759,158 outputs
Outputs from PeerJ
#131
of 15,319 outputs
Outputs of similar age
#804
of 236,013 outputs
Outputs of similar age from PeerJ
#4
of 126 outputs
Altmetric has tracked 25,759,158 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.1. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 236,013 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.